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109 lines
2.4 KiB
Markdown
109 lines
2.4 KiB
Markdown
# huggingface/hle (Humanity's Last Exam)
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Evaluate LLMs against [Humanity's Last Exam (HLE)](https://arxiv.org/abs/2501.14249), a challenging benchmark created by 1,000+ experts across 500+ institutions. HLE features 3,000+ questions spanning 100+ subjects, designed to push AI capabilities to their limits.
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**📖 [Read the complete HLE benchmark guide →](https://www.promptfoo.dev/docs/guides/hle-benchmark/)**
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You can run this example with:
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```bash
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npx promptfoo@latest init --example huggingface/hle
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cd huggingface/hle
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```
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## Prerequisites
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- OpenAI API key set as `OPENAI_API_KEY`
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- Anthropic API key set as `ANTHROPIC_API_KEY`
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- Hugging Face access token (required for dataset access)
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## Setup
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Set your Hugging Face token:
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```bash
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export HF_TOKEN=your_token_here
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```
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Or add it to your `.env` file:
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```env
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HF_TOKEN=your_token_here
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```
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Get your token at [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens).
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## Run the Evaluation
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Run the evaluation:
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```bash
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npx promptfoo@latest eval
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```
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View results:
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```bash
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npx promptfoo@latest view
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```
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## What's Tested
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This evaluation tests models on:
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- Advanced mathematics and sciences
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- Humanities and social sciences
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- Professional domain knowledge
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- Multimodal reasoning
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- Interdisciplinary topics
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Each question is evaluated for accuracy using an LLM judge that compares the model's response against the verified correct answer.
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## Current AI Performance
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HLE is designed to be extremely challenging. Recent model performance:
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- **OpenAI Deep Research**: 26.6% accuracy
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- **o4-mini**: 18.1% accuracy
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- **DeepSeek-R1**: 9.4% accuracy
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Low scores are expected - this benchmark represents the cutting edge of AI evaluation.
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## Customization
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### Test More Questions
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Increase the sample size:
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```yaml
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tests:
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- huggingface://datasets/cais/hle?split=test&limit=100
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```
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### Add More Models
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Compare multiple providers:
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```yaml
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providers:
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- anthropic:claude-sonnet-4-6
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- openai:o4-mini
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- deepseek:deepseek-reasoner
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```
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### Different Prompting
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Try alternative prompting strategies by modifying `prompt.py` or using static prompts:
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```yaml
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prompts:
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- 'Answer this question step by step: {{question}}'
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- file://prompt.py:create_hle_prompt
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```
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## Resources
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- [HLE Paper](https://arxiv.org/abs/2501.14249)
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- [HLE Dataset](https://huggingface.co/datasets/cais/hle)
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- [Promptfoo Documentation](https://promptfoo.dev/docs/getting-started)
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